Triple

T18491812
Position Surface form Disambiguated ID Type / Status
Subject Whites E451835 entity
Predicate hasTypicalAncestry P26561 FINISHED
Object European ancestry LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: European ancestry | Statement: [Whites, hasTypicalAncestry, European ancestry]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTypicalAncestry
Context triple: [Whites, hasTypicalAncestry, European ancestry]
  • A. hasAncestralRoots
    Indicates that one entity originates from, descends from, or is historically rooted in another entity or place.
  • B. typeOfAncestry
    Indicates that one entity’s ancestry or lineage is characterized as being of a particular type or origin in relation to another entity.
  • C. typicalAncestryDescription chosen
    Indicates the usual or most common ancestral background associated with an entity.
  • D. ancestralStatus
    Indicates that one entity holds a particular ancestral or lineage-based relationship or status in relation to another entity.
  • E. hasAncestralType
    Indicates that one type is derived from, or originates from, another more primitive or original type in an inheritance or lineage hierarchy.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8d3855d50819097fc8561b0299dd9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e531dcac3c8190b2ebd129ca7f368d completed April 19, 2026, 7:49 p.m.
PD Predicate disambiguation batch_69e469d671088190b619de96ea6f92ab completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 11:35 a.m.